Cricket fast bowling detection in a training setting using an inertial measurement unit and machine learning-Reference-Cited by-同舟云学术

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Cricket fast bowling detection in a training setting using an inertial measurement unit and machine learning

Published:2018-12-13 Issue:11 Volume:37 Page:1220-1226
ISSN:0264-0414
Container-title:Journal of Sports Sciences
language:en
Short-container-title:Journal of Sports Sciences

Author:

McGrath Joseph W.¹²,Neville Jonathon¹³,Stewart Tom¹,Cronin John¹

Affiliation:

1. Sport Performance Research Institute New Zealand, AUT University, Auckland, New Zealand

2. Manukau Institute of Technology, School of Sport, Auckland, New Zealand

3. School of Engineering, Computer and Mathematical Sciences, AUT University, Auckland, New Zealand

Funder

for this study

Publisher

Informa UK Limited

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/02640414.2018.1553270

Reference24 articles.

1. Physical Human Activity Recognition Using Wearable Sensors

2. Window Size Impact in Human Activity Recognition

3. The relationship between fast bowling workload and injury in first-class cricketers: a pilot study

4. Bowling workload and the risk of injury in elite cricket fast bowlers

5. Is bowling workload a risk factor for injury to Australian junior cricket fast bowlers? * Commentary * Commentary

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